Conferences related to Supportability

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2017 Annual Reliability and Maintainability Symposium (RAMS)

Tutorials and original papers on reliability, maintainability, safety, risk management, and logistics


2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC)

DASC is the premier annual conference providing authors an opportunity for publication and presentation to an international audience of papers encompassing the field of avionics systems for aircraft/rotorcraft/unmanned aircraft (commercial, military, general aviation) launch vehicles, missiles, spacecraft, and space transportation systems, navigation, guidance/control of flight, computers, communications, sensors (radar, infrared, visual bands), avionics architectures and data networking, communications networks, software, crew interface, space and ground components needed for the operation of military, commercial, and business aircraft, and avionics electrical power generation and control, Student papers are entered into a judged competition.


2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.


2012 7th International Conference on System of Systems Engineering (SoSE)

The conference theme is SoSE in cooperative and competitive distributed decision making in complex dynamic systems , focusing on SoSE control and simulation methodologies to support decisions in different application fields, among others transport, energy, industrial and environmental risk management. Papers on theories, methodologies, and applications of System of Systems Engineering in science, technology, industry, and education are welcome.

  • 2011 6th International Conference on System of Systems Engineering (SoSE)

    the Sixth International Conference on System of Systems Engineering (SoSE) with its vast ramifications in numerous engineering fields such as control, computing, communication, information technology and in applications such manufacturing, defense, national security, aerospace, aeronautics, energy, environment, healthcare, and transportation. The conference theme is SoSE in Cloud Computing, Smart Grid, and Cyber Security, three areas of significant investment within the public and private sectors as well

  • 2010 5th International Conference on System of Systems Engineering (SoSE)

    The 5th International Conference on System of Systems Engineering (SoSE) covers engineering fields such as control, computing, communication, information technology and the applications to manufacturing, defense, national and homeland security, aerospace, aeronautics, energy, environment, transport.

  • 2009 IEEE International Conference on System of Systems Engineering (SoSE)

    SYSTEM OF SYSTEMS, ARCHITECHTURE, MODLEING, SIMULATION, EMERGENCE, ENGINEERING, CONTROL, APPLICATION IN DEFENSE, ENERGY, SECURITY, SPACE, AERONAUTICS, MANUFACTURING, EARTH OBSERVATION, WATER RESOURCES, ETC.


2011 9th International Conference on Reliability, Maintainability and Safety (ICRMS 2011)

ICRMS 2011 is to bring together leading academics, industry practitioners, and research scientists from around the world to advance the body of knowledge in quality, reliability, maintenance, and safety of engineering systems, to establish and strengthen the link between academia and industry, to promote applications of research results.

  • 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009)

    The topics of ICRMS 2009 include reliability, maintainability, testability, supportability and safety, which concern astronautics, aeronautics, military equipment, automobile, communication, computer network, electronics, automation instrument, etc. The researchers are from different countries, including USA, Canada, Japan, Norway, Sweden, France, Iran, Italy, Poland, UK, Russia, South Korea, Lithuania, Austria, etc.



Periodicals related to Supportability

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Semiconductor Manufacturing, IEEE Transactions on

Addresses innovations of interest to the integrated circuit manufacturing researcher and professional. Includes advanced process control, equipment modeling and control, yield analysis and optimization, defect control, and manufacturability improvement. It also addresses factory modelling and simulation, production planning and scheduling, as well as environmental issues in semiconductor manufacturing.



Most published Xplore authors for Supportability

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Xplore Articles related to Supportability

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Rule Generating of Rough Sets Based on Bayesian Theory

Jiaming Ding; Lixing Ding; Zhuoping Ding; Yonghe Wang 2010 International Conference on Intelligent System Design and Engineering Application, 2010

The generating rule method is presented for incompatible and incomplete information of test data based on Bayesian theory. Firstly, the rule's conditional probability is calculated when the certainty (reliability) of the test data is the prior probability and the samples (supportability) is posterior probability. Then, Those rules whose conditional probability is bigger than a given threshold value should be preserved. ...


Re-hosting test program sets effectively and affordably [for military ATE application]

F. Liguori; R. A. Copley IEEE Aerospace and Electronic Systems Magazine, 1996

This paper describes an innovative process for re-hosting test program sets from an existing tester for which they were originally prepared to operate on another tester. The process greatly reduces the time and cost usually required for offloading a test program set while retaining most of the original design and interface hardware


Basic Reliability Concepts

Jan Pukite; Paul Pukite Modeling for Reliability Analysis:Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems, 1998

This chapter contains sections titled: Measures of Reliability Specification of Reliability Faults and Failures State-Based Reliability Model


C-17 successful application of existing automatic test equipment

F. Sidhwa; P. Bothello IEEE Aerospace and Electronic Systems Magazine, 1995

The C-17 Program utilizes existing B-1B Automatic Test Equipment (ATE). The C-17 decision is in harmony with the Air Force emphasis on reducing proliferation of unique ATE. The ATE selection was made after consideration of cost, performance and supportability tradeoffs. Minimal augmentation of the government inventoried equipment was required which did not affect the existing hardware and software configuration, This ...


Basic Reliability Models

Jan Pukite; Paul Pukite Modeling for Reliability Analysis:Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems, 1998

This chapter contains sections titled: What is a Reliability Model? Reliability Model Use Parts-Count Models Computing Serial System Reliability Combinatorial Models Markov Models Petri Nets Monte Carlo Simulation Models Reliability Model Development


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Educational Resources on Supportability

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eLearning

Rule Generating of Rough Sets Based on Bayesian Theory

Jiaming Ding; Lixing Ding; Zhuoping Ding; Yonghe Wang 2010 International Conference on Intelligent System Design and Engineering Application, 2010

The generating rule method is presented for incompatible and incomplete information of test data based on Bayesian theory. Firstly, the rule's conditional probability is calculated when the certainty (reliability) of the test data is the prior probability and the samples (supportability) is posterior probability. Then, Those rules whose conditional probability is bigger than a given threshold value should be preserved. ...


Re-hosting test program sets effectively and affordably [for military ATE application]

F. Liguori; R. A. Copley IEEE Aerospace and Electronic Systems Magazine, 1996

This paper describes an innovative process for re-hosting test program sets from an existing tester for which they were originally prepared to operate on another tester. The process greatly reduces the time and cost usually required for offloading a test program set while retaining most of the original design and interface hardware


Basic Reliability Concepts

Jan Pukite; Paul Pukite Modeling for Reliability Analysis:Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems, 1998

This chapter contains sections titled: Measures of Reliability Specification of Reliability Faults and Failures State-Based Reliability Model


C-17 successful application of existing automatic test equipment

F. Sidhwa; P. Bothello IEEE Aerospace and Electronic Systems Magazine, 1995

The C-17 Program utilizes existing B-1B Automatic Test Equipment (ATE). The C-17 decision is in harmony with the Air Force emphasis on reducing proliferation of unique ATE. The ATE selection was made after consideration of cost, performance and supportability tradeoffs. Minimal augmentation of the government inventoried equipment was required which did not affect the existing hardware and software configuration, This ...


Basic Reliability Models

Jan Pukite; Paul Pukite Modeling for Reliability Analysis:Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems, 1998

This chapter contains sections titled: What is a Reliability Model? Reliability Model Use Parts-Count Models Computing Serial System Reliability Combinatorial Models Markov Models Petri Nets Monte Carlo Simulation Models Reliability Model Development


More eLearning Resources

IEEE.tv Videos

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IEEE-USA E-Books

  • Basic Reliability Concepts

    This chapter contains sections titled: Measures of Reliability Specification of Reliability Faults and Failures State-Based Reliability Model

  • Basic Reliability Models

    This chapter contains sections titled: What is a Reliability Model? Reliability Model Use Parts-Count Models Computing Serial System Reliability Combinatorial Models Markov Models Petri Nets Monte Carlo Simulation Models Reliability Model Development

  • Markov Process Fundamentals

    This chapter contains sections titled: Stochastic Processes System Dynamics Matrix-Vector Representation of State-Space Interpretation of State-Space Equations Markov Models Semi-Markov Process State Diagram Approximate Solution of Markov Model

  • CARMS User's Guide

    This chapter contains sections titled: Introduction Requirements Application Installation Algorithm Selection Markov Model and State Diagram Construction Special Functions

  • Hardware Reliability Modeling

    This chapter contains sections titled: Modeling Common Configurations Standby Configuration Fault Coverage Fault Monitor Modeling

  • Index

    "Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."

  • Availability Modeling

    This chapter contains sections titled: Definition of Availability Measures of Availability Computation of Availability

  • CARMS Model Library

    This chapter contains sections titled: Single Components Serial Components Parallel Components Majority Voters Standby Subsystem Assemblies Systems Performance Models Chain Models

  • Software Reliability Modeling

    This chapter contains sections titled: Software Reliability Model Selection Modeling Common Software Configurations

  • About the Authors

    "Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."



Standards related to Supportability

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